Race, Diversity, and Ethnicity in Lilesville, NC

The map below shows majority race by area in Lilesville, as self-identified on the US census. Darker shades indicate a larger racial majority in that neighborhood. This page also contains data and maps on Lilesville racial diversity and diversity scores. Click here to scroll to diversity data.

Lilesville, NC map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Lilesville overall is white, making up 49.2% of residents. The next most-common racial group is black at 42.8%. There are more white people in the east areas of the city. People who identify as black are most likely to be living in the west places. The data below shows how many people identify themselves as each of the following races, which most Americans base on their family's national origin:

Race in Lilesville
Race
Lilesville, NC Population
White
49.2%
Hispanic
3.7%
Black
42.8%
Asian
0.0%
Native American
0.0%
Other
4.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Lilesville, NC Population
White
49.2%
Hispanic
3.7%
Black
42.8%
Asian
0.0%
Native American
0.0%
Other
4.3%
   

Diversity and Diversity Scores for Lilesville, NC

The map below shows diversity in Lilesville. Areas in green are more diverse, while areas in red are much less diverse. Diversity, in this case, means a mixture of people with different race and ethnicity living close to one another. For example, all-black and all-white areas in the city would both be considered lacking diversity.

Lilesville, NC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Lilesville Diversity Score

87

With a diversity score of 87 out of 100, Lilesville is much more diverse than other US cities. The most diverse area within Lilesville's proper boundaries is to the west of the city. The least diverse areas are located in the east parts of Lilesville.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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